Investigating urban soundscapes of the COVID-19 lockdown: A predictive soundscape modeling approach (CROSBI ID 302965)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mitchell, Andrew ; Oberman, Tin ; Aletta, Francesco ; Kachlicka, Magdalena ; Lionello, Matteo ; Erfanian, Mercede ; Kang, Jian
engleski
Investigating urban soundscapes of the COVID-19 lockdown: A predictive soundscape modeling approach
The unprecedented lockdowns resulting from COVID-19 in spring 2020 triggered changes in human activities in public spaces. A predictive modeling approach was developed to characterize the changes in the perception of the sound environment when people could not be surveyed. Building on a database of soundscape questionnaires (N = 1, 136) and binaural recordings (N = 687) collected in 13 locations across London and Venice during 2019, new recordings (N = 571) were made in the same locations during the 2020 lockdowns. Using these 30-s-long recordings, linear multilevel models were developed to predict the soundscape pleasantness (𝑅2=0.85 R 2 = 0.85 ) and eventfulness (𝑅2=0.715 R 2 = 0.715 ) during the lockdown and compare the changes for each location. The performance was above average for comparable models. An online listening study also investigated the change in the sound sources within the spaces. Results indicate (1) human sounds were less dominant and natural sounds more dominant across all locations ; (2) contextual information is important for predicting pleasantness but not for eventfulness ; (3) perception shifted toward less eventful soundscapes and to more pleasant soundscapes for previously traffic-dominated locations but not for human- and natural- dominated locations. This study demonstrates the usefulness of predictive modeling and the importance of considering contextual information when discussing the impact of sound level reductions on the soundscape.
soundscape ; COVID-19 ; lockdown ; multi-level model ; public space
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Podaci o izdanju
150 (6)
2021.
4474-4488
objavljeno
0001-4966
1520-8524
10.1121/10.0008928
Povezanost rada
Arhitektura i urbanizam, Interdisciplinarne tehničke znanosti